Explore the top 7 API automation testing tools for software developers in 2025, their features, strengths, pricing, and how they enhance API reliability and performance.
Discover the best Application Performance Monitoring (APM) tools that enable enterprises to enhance application performance, ensure seamless digital experiences, and drive long-term growth in 2025.
About Cloud ex Machina Cloud ex Machina automates cloud optimization with AI to perform context discovery and generate code-ready fixes as pull requests, enabling engineering teams to eliminate cloud ...
Proactive Sensitive Data Leak Detection. Embed privacy across all stages in development, from IDE environments, with ...
On Tuesday, French AI startup Mistral AI released Devstral 2, a 123 billion parameter open-weights coding model designed to work as part of an autonomous software engineering agent. The model achieves ...
Amazon Web Services has announced a new class of AI systems," frontier agents," that can work autonomously for hours, even days, without human intervention, representing one of the most ambitious ...
The $3.5B South System Expansion 4 project would add about 1.3 billion cu ft of natural gas per day, according to terminal operator Kinder Morgan, and make improvements along 291 miles of existing ...
Today, we have an episode from our friends at Booming. In a recent episode, they reported how young people are choosing trade school over college out of fear of white-collar jobs drying up. Companies ...
Balloons, mascots, celebrities, music groups and more will make their way down Woodward Avenue next week for America’s Thanksgiving Parade in Detroit. The 2025 parade presented by Garder White is ...
Launched in 2023, Cursor’s AI-infused coding software quickly caught on with professional software developers and helped lead to a new style of programming known as vibe coding. Cursor, previously ...
As software systems grow more complex and AI tools generate code faster than ever, a fundamental problem is getting worse: Engineers are drowning in debugging work, spending up to half their time ...